Pattern image significance for camera calibration

The image information from cameras can yield geometric information pertaining to three-dimensional objects by having camera parameters. Camera Calibration is a method for calculating the parameters of a pinhole camera model. Several methods used for camera calibration which are self-calibration, active vision, and known objects. Usually known object pattern uses calibration pattern such as chessboard. Furthermore, another important element is the number of image selection that also adheres better impact to overall of accuracy rate. Therefore, we categorize and explain each method in camera calibration in this paper. Finally, we show the significance of number of image and slope in camera calibration in several experimental result to justify our claim.